Update app.py

app.py

@@ -1,3 +1,4 @@
+################################################### Approach 1
 # import streamlit as st
 # import json
 # import os
@@ -49,7 +50,57 @@
 #     st.write(c)
 
 
+
+
+################################################### Approach 2
+# import streamlit as st
+
+# def collect_feedback():
+#     st.title("Feedback Collection App")
+
+#     # Display thumbs up/down buttons for feedback
+#     feedback = st.radio("Was this helpful?", ('👍', '👎'))
+
+#     # Text input for comments
+#     comments = st.text_area("Please provide any comments or suggestions:")
+
+#     if st.button("Submit"):
+#         if feedback == '👍':
+#             st.success("Thank you for your positive feedback!")
+#         elif feedback == '👎':
+#             st.error("We're sorry to hear that. Please let us know how we can improve.")
+        
+#         # Do something with the feedback and comments (e.g., save to a database)
+#         # For now, just print them
+#         st.write("Feedback:", feedback)
+#         st.write("Comments:", comments)
+
+# if __name__ == "__main__":
+#     collect_feedback()
+
+
+
+
+
+################################################### Approach 3
 import streamlit as st
+from datasets import Dataset
+
+# Function to push feedback data to Hugging Face Hub dataset
+def push_to_dataset(feedback, comments):
+    # Load existing dataset or create a new one if it doesn't exist
+    try:
+        dataset = Dataset.load_from_hf("YashB1/Feedbacks", split="train")
+    except FileNotFoundError:
+        # If dataset doesn't exist, create a new one
+        dataset = Dataset.from_dict({"feedback": [], "comments": []})
+
+    # Add new feedback to the dataset
+    new_data = {"feedback": feedback, "comments": comments}
+    dataset = dataset.append(new_data)
+
+    # Save dataset back to Hugging Face Hub
+    dataset.save_to_disk("YashB1/Feedbacks", keep_in_memory=True)
 
 def collect_feedback():
     st.title("Feedback Collection App")
@@ -66,11 +117,11 @@ def collect_feedback():
         elif feedback == '👎':
             st.error("We're sorry to hear that. Please let us know how we can improve.")
         
-        # Do something with the feedback and comments (e.g., save to a database)
-        # For now, just print them
+        # Push feedback data to Hugging Face Hub dataset
+        push_to_dataset(feedback, comments)
+
         st.write("Feedback:", feedback)
         st.write("Comments:", comments)
 
 if __name__ == "__main__":
     collect_feedback()
-